Paper
19 January 2006 Adaptive de-blocking filter for low bit rate applications
Xin Jin, Guangxi Zhu
Author Affiliations +
Proceedings Volume 6077, Visual Communications and Image Processing 2006; 60771P (2006) https://doi.org/10.1117/12.642485
Event: Electronic Imaging 2006, 2006, San Jose, California, United States
Abstract
In block-based video compression technology, blocking artifacts are obvious because of the luminance and chrominance discontinuities which are caused by block-based discrete cosine transform (DCT) and motion compensation. As a kind of solution, an in-loop filter has been successfully used in H.264 adapting to quantization parameter and video content. In this paper, blocking artifacts distribution properties are analyzed carefully to reflect the blocking effect more accurately in the low bit rate applications. Two important parameters, named blocking severity and pixel variation, are defined to describe the boundary strength and the gradient of the samples across the edge respectively. Through series of statistical data retrieval and analysis for these parameters using multiple representative video sequences, a novel blocking artifacts distribution model is concluded. Based on this distribution model, an improved filter is proposed to H.264 with novel strength determination rule and different alpha model. Comparing with H.264 anchor results, the proposed de-blocking filter shows better performance especially in subjective aspect, which could be widely used in low bit rate applications.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xin Jin and Guangxi Zhu "Adaptive de-blocking filter for low bit rate applications", Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60771P (19 January 2006); https://doi.org/10.1117/12.642485
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Digital filtering

Video

Image filtering

Statistical analysis

Video compression

Data modeling

Distortion

Back to Top